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11.
Two main research goals<br />To produce:<br /> Usable Biometrics<br /><ul><li>It might have 100% performance, but if it isn’t feasible in the real world, who cares?</li></ul> Unconstrained Biometrics<br /><ul><li>At present, good recognition rates depend on a lot of variables being just right, or at least consistent

12.
We would like to reduce the dependency or get rid of it altogether</li></ul>11<br />Clemson University <br />School of Computing <br />Biometrics and Pattern Recognition Lab Director: Damon Woodard, PhD<br />

17.
Aging Effects on Facial Recognition<br />Looking at an image of a person, can we reliably predict<br />what age they are?<br />what they will look like in so many years?<br />or what they looked like in the past?<br />Relaxes time lapse constraint<br />Clemson University <br />School of Computing <br />Biometrics and Pattern Recognition Lab Director: Damon Woodard, PhD<br />16<br />

19.
Soft Biometrics<br />What if we don’t have enough information to identify the person?<br />We would like to know as much about them as possible: age, gender, ...<br />Clemson University <br />School of Computing <br />Biometrics and Pattern Recognition Lab Director: Damon Woodard, PhD<br />18<br />